Results 161 to 170 of about 4,352,696 (267)

Addressing Bottlenecks to Achieve High‐Energy Sodium‐Ion Cells Using Tin Anodes

Advanced Energy Materials, EarlyView.
The challenges in coupling high voltage cathode with Sn‐alloying anode or in anode‐free cell, using glyme based electrolytes to realize high energy Na‐ion cells are reported. Surface protection strategy such as SnO coating on Sn or trapping the parasitic species from poisoning the anode, helps improving the cyclability, with ∼100% capacity retention ...
Parth Desai, Harshita Lohani, Wang Yu, François Ribot, Guillaume P. Laurent, Julien Bonefacino, Hervé Vezin, Dominique Foix, Carine Davoisne, Biao Zhang, Jean‐Marie Tarascon, Sathiya Mariyappan   +11 more
wiley   +1 more source

A missing link for efflux pumps. [PDF]

Elife
Wehbi H, Broutin I.
europepmc   +1 more source

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

Adrien Proust - overlooked as an occupational health practitioner, author and teacher. [PDF]

J Occup Med Toxicol
Torén K, Lindgren C, Blanc PD.
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Publisher Correction: Zinc-oligoether carboxylate salts as electrolyte additives for aqueous Zn metal batteries. [PDF]

Nat Commun
Brown J, Aguilar I, Forero-Saboya J, Bihari Soni C, Chotard H, Wang Y, Zuras E, Noël JM, Tarascon JM, Grimaud A.   +9 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Effect of femoro-axillary V-A ECMO flow on pulmonary capillary wedge pressure. [PDF]

Crit Care
Levy D, Juvin C, Schmidt M, Combes A, Saura O.   +4 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source